Data Scientist - Flex

We are seeking a highly analytical and results-driven Data Scientist to join our buy now pay later (BNPL) sector called Flex Pay. You will play a key role in building predictive risk models, optimizing offers and pricing, and extracting insights that drive product development, risk mitigation, and customer strategy. This role requires a strong foundation in statistics, machine learning, and programming.

This position is based in our San Francisco office in a hybrid capacity, specifically on Wednesdays and Thursdays.

• Build and maintain credit and fraud policy simulators used to ensure properly functioning systems and identify risk decisioning enhancements.
• Build and deploy statistical models and machine learning algorithms to solve business problems in areas like credit risk, fraud detection, pricing, customer segmentation, and marketing attribution.
• Validate models to identify factors that may affect model performance.
• Analyze large, structured and unstructured datasets using SQL, Python or similar tools.
• Stay up to date with the latest trends and technologies in data science and fintech, actively research new tools and techniques available for model development.
• Collaborate with cross-functional teams including risk, marketing, product, and engineering to define data-driven strategies.

• Advanced Degree (MS/PhD) in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related quantitative discipline.
• 2 years of hands-on experience in a data science or analytics role, preferably in financial services.
• Experience and/or strong interest in machine learning techniques (Random Forest, Gradient Boosted Trees, etc.) strongly preferred.
• Strong proficiency in Python (Pandas, Numpy, Scikit-learn) and SQL.
• Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
• Proactive, driven, and ability to work in a fast paced environment.

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience with AI tools such as Claude
• Experience with data technologies like PySpark.
• Understanding of financial services concepts such as credit scoring, portfolio risk, or customer lifetime value.

• Competitive salary and stock option plan
• Paid coverage of medical, dental and vision insurance
• Competitive 401(k) and RRSP program
• Flexible PTO
• Opportunities for professional growth and development
• Paid parental leave
• Health & wellness initiatives

The compensation range of this position in San Francisco, CA is USD $100,000-$120,000 annually plus equity and benefits. Within this range, an individual's base pay will be dependent on a variety of factors, including without limitation, job-related knowledge, skills, education, and experience.